Neighbours and Extension Agents in Ethiopia: Who matters more for technology diffusion?
AbstractThe increased adoption of fertiliser and improved seeds are key to raising land productivity in Ethiopian agriculture. However, as in much of sub-Saharan Africa, the adoption and diffusion of such technologies has been slow. We use data from the Ethiopia between 1999-2009 to examine the role of learning from extension agents versus neighbours for both improved seeds and fertiliser. We use the structure of spatial networks of farmers and panel data to identify these influences and find that while the initial impact of extension agents was high, the effect wore off, in contrast to learning from neighbours.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 9539.
Date of creation: Jul 2013
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Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
This paper has been announced in the following NEP Reports:
- NEP-AGR-2013-09-28 (Agricultural Economics)
- NEP-ALL-2013-09-28 (All new papers)
- NEP-URE-2013-09-28 (Urban & Real Estate Economics)
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- Ariel BenYishay & A. Mushfiq Mobarak, 2013. "Communicating with Farmers through Social Networks," Working Papers 1030, Economic Growth Center, Yale University.
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